ISO country KE

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description carries the full burden. It does disclose an important behavioral trait: 'Task text discarded', indicating that task content is not processed. It also summarizes return contents, but it omits any side-effect, authentication, or cost context; 'pay-per-call' is mentioned only as part of the resource name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three short sentences, each adding distinct value: purpose, returned artifacts, and input behavior. It is front-loaded and has no filler. It loses one point for using undefined terms such as 'Monid' and 'MCP hops' without self-contained context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations, no output schema, and nine optional parameters, the description gives useful return categories and notes that task text is discarded. Still, it never explicitly says that no arguments are needed or that all parameters are ignored, leaving the unrelated schema confusing. No invocation pattern or prerequisites are provided.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds a global hint that task text is discarded, which helps somewhat. However, it does not explain how the nine unrelated parameters (url, city, zone, query, etc.) relate to the Monid gateway, or whether they are all ignored.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource: 'Find a public pay-per-call tool gateway (Monid)', and even enumerates the concrete outputs. This clearly separates it from sibling tools, which are mostly URL, file, time, and status checkers. It is not a 5 because terms like 'Monid' and 'MCP hops' are unexplained jargon.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Use is implied: call this tool when the agent needs the Monid gateway's CLI setup or how-it-works information. The description does not explicitly state when not to use it, nor does it reference any sibling alternatives. It relies on the uniqueness of Monid to guide selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full responsibility for behavioral disclosure. It only reveals that no browser is launched; it does not state whether an HTTP request is made, what the return value looks like, or whether side effects such as network requests or rate limits apply.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short, front-loaded, and contains no filler. Every word earns its place, though the extreme brevity contributes to a broader lack of context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There are no annotations, no output schema, and seven heterogeneous parameters. The description is too thin for an agent to confidently understand what 'can be opened' means, how results are reported, and how the many optional parameters relate to the operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already includes descriptions for all seven parameters, so schema coverage is high. The tool description itself adds no parameter-level meaning and does not explain why unrelated-looking fields like city, ref, or json are accepted, so the baseline score applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific operation: check whether a URL can be opened, and adds the important trait that no browser is launched. This helps distinguish it from browser-launching siblings such as playwright-url-ok, though it does not explicitly name alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'No browser is launched' implies a lightweight reachability check rather than a full browser test, so usage context is somewhat clear. However, it never explicitly says when to prefer this tool over playwright-url-ok, web-fetch, or fetch-status, nor does it list exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry the full behavioral disclosure burden. It only states that the expression is 'discarded,' which is vague and does not explain side effects, output behavior, permissions, or the fact that none of the nine schema fields can actually hold the expression. This is insufficient for an apparently action-performing tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, with the main operation stated first and no filler. The second sentence is terse to the point of ambiguity, but as a conciseness measure it is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a nine-parameter tool with no annotations and no output schema, this description is far from complete. It does not explain return values, how any input relates to the arithmetic operation, error behavior, or whether the tool is state-changing, so an agent cannot reliably invoke it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although schema coverage is 100%, the description introduces an 'expression' concept that has no corresponding property among ref, url, city, feed, host, json, path, or query. It does not add meaning to the existing parameters; it actively misleads an agent about which field should be populated.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a concrete operation: 'Evaluate a+b style arithmetic.' This is a specific verb and resource, and no sibling tool covers arithmetic evaluation. However, the follow-up 'Expression discarded' is ambiguous and no schema parameter corresponds to an expression, so the stated purpose is not cleanly actionable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives, what conditions select it, or what prerequisites exist. The phrase 'Evaluate a+b style arithmetic' only implies a narrow arithmetic use case but gives no exclusions or comparisons to sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It does add one meaningful disclosure—'Page content is not stored'—which is a useful privacy guarantee. But it does not state whether the URL is fetched, whether redirects are followed, or how failures are handled, leaving behavioral coverage partial.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with no filler: the first delivers the action and outputs, the second adds a relevant privacy caveat. It is front-loaded and every sentence earns its place. This is an efficient, well-structured description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The core URL use case is clear, but the description is incomplete for confident tool selection: no output schema, no annotations, 9 optional parameters left unexplained, and no mention of error behavior or how this differs from sibling URL/status tools. The many 'discarded' parameters create a real gap between the simple description and the actual input surface.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already documents all 9 parameters with descriptions, so the baseline is 3. The description adds minimal value by identifying the URL as the central input and naming the outputs, but it ignores the many optional parameters and their 'discarded' semantics. It neither significantly enriches nor contradicts the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Return') and concrete outputs (host, scheme, HTTP status) for a URL, so an agent can tell what the tool computes. However, it does not explicitly distinguish this from siblings like fetch-status or normalize-url, so it stops short of full differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance about when to use this tool instead of alternatives, no exclusions, and no routing hints. The only implied use case is 'for a URL,' and the storage disclaimer is not a usage condition. An agent cannot reliably choose between citation and similar URL/status tools from this text.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It does add one useful privacy statement—'No identifiers are retained'—but it does not explain what the tool does with the inputs, what output it returns, whether it calls external services, or any side effects. The disclosure is minimal and incomplete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is only two sentences and is not bloated, but it is under-specified. It sacrifices necessary clarity for brevity; the first sentence is vague and the second is a privacy qualifier. It is concise in length but not in communicative effectiveness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This tool has 9 optional parameters, no annotations, and no output schema, so the description must provide substantial orientation. It does not explain what classification output to expect, which parameters are relevant in which scenarios, or whether parameters are mutually exclusive. The description is far from complete enough for reliable invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so each of the 9 parameters is individually documented in the schema. The tool description adds no extra parameter meaning, but per the rubric the baseline of 3 applies when the schema already covers parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a purpose with a verb and object: 'Show how this request is classified.' However, it never defines what 'classified' means, what classification categories exist, or what 'this request' refers to. It is not a tautology, but it is too vague to distinguish this tool from siblings like status-catalog or think-steps.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidance is provided. The description does not indicate when to use this tool, when not to use it, or how it relates to any of the 28 sibling tools. An agent has no basis for selecting this tool over others.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It usefully discloses that the tool does not provide WHOIS or ownership data, which is a meaningful boundary. However, it does not describe the return value format, behavior on invalid input, or how multiple accepted parameters are handled.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler or repetition. It communicates the core operation and a key non-feature in very few words, making it easy for an agent to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with nine optional parameters, no output schema, and no annotations, a one-line description is under-specified. The agent is not told which parameter to pass, what the returned labels look like, or what happens when multiple parameters are provided. The description establishes intent but not enough operational detail for reliable invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3 even though the description adds no parameter-specific detail. The description's mention of 'hostname' loosely aligns with the 'host' parameter, but it does not clarify which of the nine optional parameters to populate or whether irrelevant parameters are truly discarded.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and object: 'Split a hostname into labels.' It clearly identifies the tool's core function and distinguishes it from sibling 'shape' tools like github-repo-shape and jira-key-shape by focusing on hostnames. The phrase 'without WHOIS or ownership data' adds useful scope, though it doesn't specify which input parameter should be used.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance about when to use this tool versus alternatives. The only hint is 'without WHOIS or ownership data,' which implies a limitation but does not name a preferred alternative or provide a decision rule. An agent would have to infer usage context from the tool name and sibling set.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description usefully discloses that the tool uses HEAD, only works on public URLs, and returns just the status, which is meaningful behavioral context in the absence of annotations. However, it does not clarify redirect behavior, error handling, whether 'status' means the HTTP status code, or what happens with the many non-URL parameters accepted by the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is eight words long, front-loaded with the verb and target, and contains no filler. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with nine optional parameters, no annotations, no output schema, and many sibling URL/status tools, a single sentence about HEAD-ing a URL is not complete. The description omits the role of the other parameters, the expected return shape, and behavioral details such as redirects or errors, leaving an agent under-informed for reliable invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the description does not need to restate parameter details; the baseline of 3 applies. Still, the description adds no guidance on choosing among the nine optional parameters, and the schema's own 'url' description ('normalize or cite') conflicts with the HEAD-status purpose.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a concrete operation ('HEAD a public URL') and the expected output ('return status only'). This distinguishes it at a high level from content-fetching tools like web-fetch and browser-url-ok. However, it only mentions the URL input and gives no hint about the eight other optional schema parameters, making the stated purpose seem narrower than the schema suggests.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'public URL' implies a scope limitation and 'return status only' implies a lightweight reachability check, so some usage context is conveyed. But there is no explicit guidance about when to use this tool versus sibling tools such as browser-url-ok, playwright-url-ok, or web-fetch, and no exclusion criteria are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry behavioral disclosure. It only adds 'Path discarded' and does not state whether output is a boolean, normalized URL, or parsed components, nor any error or side-effect behavior. This is insufficient for a tool with no annotation safety net.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short and front-loads the main purpose in the first sentence. The second sentence is a deliberate behavior note, but the terseness leaves important context (input selection, output) unstated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description should explain what the tool returns and how to invoke it correctly across the 9-parameter schema. It gives only the core purpose plus one discard detail, which is not enough to resolve the ambiguity introduced by the broad input schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All 9 parameters are already described in the schema (100% coverage), so the baseline is 3. The description adds only a path-discard note, and it does not identify the `url` parameter as the primary input or clarify why unrelated parameters such as `city` and `feed` exist.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific action ('Parse') and a specific input type ('a Figma file URL'), which distinguishes it from sibling shape tools like github-repo-shape or domain-shape. However, it does not say what 'parse' produces or how 'Path discarded' relates to the result, so the purpose is clear only at a high level.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'Parse a Figma file URL' implies the tool is for Figma URL strings, but there is no explicit when-to-use guidance or exclusion of alternatives such as normalize-url, browser-url-ok, or other shape checkers. No alternatives are named, leaving the choice to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. 'No disk access' is a valuable side-effect disclosure, and 'looks safe' signals that this is not an authoritative filesystem check. It does not describe return values or failure behavior, but the key operational trait is clearly stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, no filler, and the key limitation ('No disk access') is front-loaded. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no output schema, no annotations, and a nine-property input schema, but the description does not state what the tool returns, that `path` is the operative parameter, or how 'safe' is determined. Agents may be unsure how to invoke it correctly or interpret the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents each parameter. The description adds no parameter-level meaning beyond naming 'path', which is enough to identify the relevant field but does not compensate for the many unrelated-looking parameters in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a concrete action ('Check whether') and resource ('a path'), and 'looks safe' clarifies this is a syntactic/safety check rather than an actual filesystem operation. It does not explicitly differentiate from sibling shape-check tools, but the resource and qualifier make the core purpose clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use it: when you need to know whether a path is plausibly safe without touching disk. However, it does not name alternatives or state when not to use it, leaving routing between sibling tools to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full disclosure burden, but it only mentions that Open-Meteo is the provider. It does not state that an external API call is made, which parameter identifies the place, whether unrelated parameters are ignored, or what the response and error behavior look like.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one tightly scoped sentence with no filler and the core intent is front-loaded. Nothing in it needs trimming.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with nine optional parameters, no annotations, and no output schema, a single noun-phrase description is insufficient. An agent cannot determine which parameter to populate, what the tool returns, or how failures are reported.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema coverage is 100%, so the schema already documents all nine parameters. The description adds the hint that a 'place' is the target, which loosely maps to the city parameter, but it does not clarify why unrelated fields such as ref, url, json, or path are present or which parameter is authoritative.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the concrete output—latitude and longitude for a place—and the data source, Open-Meteo, making the tool's job clear despite lacking an explicit verb. It also distinguishes geo-hint from weather-related and timezone siblings, though it does not name an alternative directly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided about when to use this tool or which input to supply. The description only states the result, leaving an agent to infer that a place/city is required and whether geo-hint should be preferred over other lookup tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the behavioral burden. It clearly states the parse operation, but does not disclose the return format, error behavior for invalid/non-GitHub URLs, or that most of the declared parameters are discarded. The schema's 'discarded' notes partially compensate, but the description itself is thin.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one clear, front-loaded sentence with no filler. Every word earns its place, and the core purpose is immediately understandable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With nine optional parameters, no annotations, and no output schema, the one-sentence description is insufficient. It does not explicitly state the return contract, which parameter to provide, or behavior when the URL is invalid. The schema's 'discarded' notes help, but the description is not self-contained enough for reliable invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds value by clarifying that the 'url' parameter is a GitHub URL, which the schema's generic 'HTTPS URL to normalize or cite' does not convey. However, it does not explicitly state that the other parameters are irrelevant to this tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific operation: 'Parse owner and repo from a GitHub URL.' This clearly identifies the resource (GitHub URL) and the expected output (owner/repo), distinguishing it from sibling tools like domain-shape or normalize-url, though it does not explicitly name those alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives, no mention of prerequisites, and no indication that only the 'url' parameter is relevant while the other eight parameters are ignored. The agent must infer usage from the tool name and generic schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral disclosure burden. It discloses one behavior: titles are discarded. It does not state whether the tool fetches live data, whether any inputs are ignored, what side effects or network calls occur, or what the return value contains beyond a count.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences with no filler and front-loads the main action. It is concise, though arguably too terse to compensate for the unrelated parameters and missing annotations.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 9 optional parameters, no annotations, and no output schema, the description is not complete enough for reliable invocation. It states only the high-level purpose and the title-discarding behavior, omitting how to invoke it, what the output looks like, and whether it accesses the network.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The tool description adds little beyond 'Titles discarded,' which parallels the feed parameter description. It does not clarify why unrelated parameters such as ref, city, json, path, query, and zone exist, but the schema itself documents each parameter adequately for a neutral score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Count') and the resource ('current Hacker News front-page stories'), and it adds a meaningful qualifier with 'Titles discarded.' It is semantically distinct from siblings like web-fetch or fetch-status. However, the description does not explain how the large optional input schema relates to counting HN stories, which slightly reduces clarity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool over alternatives, no preconditions, and no explicit exclusions. 'Titles discarded' hints that the tool is not for retrieving titles, but no sibling tools or alternative choices are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description carries the full burden of disclosing behavior. It only names a category of data and does not state whether the tool returns data, mutates anything, or what happens with the supplied parameters. The parameter descriptions in the schema (e.g., 'discarded after the call') add confusion without any explanatory context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is very short and contains no wasted words, which is concise. However, it is under-specified for a tool with nine parameters and no annotations, so the brevity is more a sign of insufficiency than effective structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With nine parameters, no output schema, no annotations, and many sibling tools, this description is far too incomplete. It provides no return format, no invocation guidance, no parameter relationships, and no differentiation from related tools, so an agent cannot reliably select or call it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description itself adds no parameter meaning and does not explain why all parameters are optional or how they relate to IANA timezone names. The schema descriptions are present but seem disconnected from the tool description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a noun phrase rather than a statement of behavior: 'Common IANA timezone names for clock calls' implies a list but lacks a verb such as 'returns' or 'lists'. It also does not clarify why the input schema contains nine unrelated parameters, so the tool's actual purpose remains ambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use guidance is provided. The phrase 'for clock calls' vaguely suggests clock-related usage, but the description never mentions alternatives or exclusions, despite sibling tools like timezone and utc-time that are likely related.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description itself must carry safety and behavior information. It does state that this is a read-only public fetch and that the return is limited to group counts, which is useful. However, it does not disclose behavior on missing robots.txt files, redirects, timeouts, or construction of the URL from parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One tight sentence with no filler and a useful output-scoping qualifier ('only'). It is appropriately concise for a simple tool, though it could have spent one more clause naming the relevant input.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 9 optional parameters, no output schema, no annotations, and a large set of similar shape-check siblings, the description is far too thin. It does not identify the mandatory input, explain how to derive robots.txt from host/url, describe the output structure, or clarify that most parameters are discarded.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although schema coverage is 100%, the parameter descriptions are semantically disconnected from the tool description: 'city', 'json', 'zone', and 'query' are unrelated to robots.txt. The description does not say which of the 9 optional parameters provides the site URL/host, and 'url' is described as something to 'normalize or cite' rather than fetch robots.txt from, leaving an agent to guess.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Fetch'), a concrete resource ('a public robots.txt'), and an exact output ('group counts only'). It is clearly distinguishable from siblings like web-fetch or fetch-status, though it does not name an alternative or define what a 'group count' is.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool instead of web-fetch, fetch-status, normalize-url, or other siblings. The only contextual hint is the word 'public', which suggests it is for public sites but does not state exclusions, prerequisites, or alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The phrase 'Key discarded' is a useful disclosure that the input is not retained, and 'check' implies a read-only validation. However, with no annotations and no output schema, it doesn't describe the return value, error behavior, or what happens when the shape is invalid.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no filler, but this is under-specification rather than effective conciseness. The description omits the operative parameter and expected result, making it too skeletal to support correct invocation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and a large ambiguous parameter set, the description is incomplete. An agent cannot confidently determine which field to populate or what the tool returns.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although schema description coverage is high, the description itself adds no parameter mapping. With many unrelated optional parameters, the agent cannot tell which one holds the Jira key; the schema's own descriptions are only partial clues.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete action and target: 'Check a Jira issue key shape.' The 'Jira' qualifier distinguishes it from sibling shape tools like domain-shape and github-repo-shape. It loses a point because no schema parameter is identified as the carrier of the Jira key.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides no guidance on when to use this tool versus alternatives. It doesn't mention that the key should come from a Git ref or similar, and it gives no when-not-to-use or prerequisite context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full disclosure burden; it reveals only that the body is discarded. It does not state that other parameters are ignored, how redirects or errors are handled, or what a 'hint' means, and the schema's many 'discarded' fields are left unexplained.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is very short and front-loaded, but it is under-specified for a tool with 9 optional parameters and no annotations. The brevity is not inherently bad, but it omits essential usage and parameter context, so the size is not appropriate to the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, no annotations, and a complex optional schema, a two-sentence description is not enough. An agent cannot determine which parameter to populate, what output to expect beyond a status code, or how this relates to the many lookup and fetch siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents each parameter at a basic level. The description adds that the relevant URL should be a public library docs URL, but it does nothing to clarify the role of city, feed, json, path, query, host, or ref in a tool whose description mentions only HTTP status.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific output (HTTP status) and a specific resource class (public library docs URL), and notes the body is discarded. It is clear enough as a headline, but it does not reconcile the 9 unrelated optional parameters in the schema, so the actual scope remains ambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to choose this over siblings like fetch-status, browser-url-ok, or normalize-url. The only implied use is for public library docs URLs, with no exclusions or alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the behavioral burden and does disclose one non-obvious trait: values are discarded rather than returned or retained. However, it does not state whether nested keys are counted, how invalid JSON is handled, or whether the operation is stateless.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, with the primary action in the first sentence and a useful behavioral caveat in the second. There is no filler, and the information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an agent to call this tool correctly and interpret the result, the description would need to explain which parameter carries the JSON, what the return value looks like, and how malformed JSON is treated. The schema lists several unrelated optional parameters, and nothing in the description reconciles them with the stated counting purpose.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents each parameter, which supports the baseline 3. The description adds no parameter-level detail and does not clarify which of the many optional schema parameters should be supplied for the JSON object.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific operation and resource: count keys in a JSON object. It does not explicitly differentiate from sibling tools like validate-json, but the counting behavior and 'Values discarded' note make the core purpose clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for obtaining a key count of a JSON object, but it gives no explicit when-to-use or when-not-to-use guidance. It also does not mention alternatives such as validate-json, leaving the agent to infer the right choice among many sibling shape/count tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the behavioral burden. It discloses a meaningful behavior (query and fragment are dropped) and the output components, but it does not state that the extra schema fields are ignored, how invalid URLs are handled, or what exact response format is returned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences with no filler. The primary result is front-loaded and the behavioral caveat follows immediately.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has nine optional parameters and no output schema, but the description only addresses the URL case. It does not clarify which parameters to supply, why the other fields exist, or what happens when multiple parameters are provided, making the call ambiguous for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-level meaning beyond the schema; it does not identify url as the primary input or explain how the many optional fields relate to normalization.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action: normalize a URL and return origin, host, and path, with query and fragment dropped. This differentiates it from validation-focused siblings like browser-url-ok and fetch-status, though it does not name any alternative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided about when to choose normalize-url over sibling tools such as browser-url-ok or figma-url-shape. The description gives no context, prerequisites, or exclusion conditions, so the agent must infer usage from the tool name and schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the behavioral burden and does disclose one important trait: no browser is launched. However, it does not say whether a network request is made, what side effects may occur, what the return value looks like, or how failures are reported, leaving meaningful gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is just two sentences, front-loads the purpose, and contains no filler. It is concise and scannable, though it could earn a 5 by packing in more decision-useful context such as return behavior or sibling differentiation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with nine optional parameters, no annotations, and no output schema, two sentences are insufficient. The description does not explain the meaning of 'opened,' the return type, the role of the url parameter relative to the discarded ones, or how to choose this tool among the many URL/network siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3: each optional parameter has its own description, most noting that values are discarded. The tool description adds no parameter-level meaning and does not clarify which parameters actually matter for the URL-open check, so it neither improves nor damages the schema's parameter guidance.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific action and resource: 'Check whether a URL can be opened.' It also adds a distinctive caveat, 'No browser is launched,' which helps separate this from browser-based sibling tools. It stops short of a 5 because 'can be opened' is ambiguous: it could mean URL syntax validity, network reachability, or an HTTP success check.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The first sentence implies the use case: call this when you need a URL-open check. The 'No browser is launched' line hints that this is the lightweight/non-browser option among URL tools, but it never names alternatives like browser-url-ok or fetch-status, nor does it state when not to use this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden. It does disclose that the query is discarded, which is a meaningful no-retention/no-persistence trait. But it does not state whether the call has side effects, rate limits, or what the return value is; for a simple read-only counter that is arguably sufficient, but not fully transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the purpose and closed with the discard behavior. Every word earns its place; no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 9 optional parameters and no output schema, but the description only addresses the 'query' parameter and the return format is left implicit. An agent cannot tell why the other eight fields exist or whether they are valid inputs, making the definition incomplete for a tool with this schema complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents each parameter. The description adds no new meaning for 'query' and mentions nothing about the eight other parameters; it is consistent with the schema's 'query' description but does not compensate for the broader schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Count') and object ('characters in a search query'), making the tool's function immediately clear. It also distinguishes this from sibling count tools by targeting search queries specifically. However, it doesn't name the query parameter or acknowledge the other schema fields, so a little ambiguity remains.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use/when-not-to-use guidance, no prerequisites, and no mention of alternatives. The reader must infer from the name and purpose that this is for measuring query length. No exclusions or edge-case guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full behavioral burden, but it reveals nothing about whether this is a static lookup, a network call, or how the parameters affect behavior. The schema hints that many parameters are discarded, but the actual operation and return format are undisclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short phrase with no wasted words, which is concise, but it is under-specified to the point of being a fragment. It prioritizes brevity over actionability, so it is only minimally adequate.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no annotations, no output schema, and a seven-parameter input schema that appears unrelated to the stated purpose. The description fails to explain return values, side effects, or how the parameters are meant to be used, making the definition inadequate for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All seven parameters have explicit schema descriptions, so schema coverage is effectively 100%, which sets a baseline of 3. The tool description adds no parameter-level insight, and the relationship between parameters like city, json, and feed and a status-code catalog is unexplained, but the high schema coverage prevents a lower score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a resource (common HTTP status codes) and labels it a catalog, but it lacks a verb such as 'returns' or 'lists' and reads as a noun phrase rather than an action statement. It does not clearly differentiate this tool from siblings like fetch-status or web-fetch.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus any of the sibling tools. There are no context cues, exclusions, or alternative references, so an agent has no basis for selecting this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The sentence 'Prompt discarded' is a real behavioral disclosure: it tells the agent the tool ignores the prompt and returns a static template. However, 'prompt' is not an input parameter, and the schema descriptions suggest a variety of validation/normalization behaviors that the description never reconciles, so the transparency is incomplete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, with the main behavior stated first and the caveat second. 'Prompt discarded' is compact and slightly cryptic, but the overall structure is efficient and free of filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With nine optional parameters, no output schema, and no annotations, the description is under-specified: an agent cannot tell which inputs are relevant, what the three-step template actually looks like, or why so many check-shaped parameters exist. The schema fills some gaps, but the tool-level description does not provide enough context for confident invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all parameters and carries the semantic weight; the description adds no parameter-level detail. The many 'discarded' notes in the schema imply that inputs do not affect the output, but the description itself does not define the relationship between the nine parameters and the returned template.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The lead sentence clearly states the deliverable ('three-step thinking template') and the action ('Return'), so an agent can identify the core function. It is not fully differentiated from sibling tools and does not explain what the template contains, but the purpose is not vague or tautological.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance about when to use this tool versus any of the 26 sibling tools, and it names no alternatives or exclusions. An agent is left to guess whether think-steps is meant for planning, decomposition, or as a final response format.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the behavioral disclosure burden. It states only that the tool returns current time, but does not describe the output format, behavior for invalid timezone names, whether this is read-only, or whether any side effects occur. The 'discarded' notes in the schema hint at statelessness, but the description itself does not clarify this.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence with no filler or repetition. It front-loads the core purpose and avoids unnecessary words, even though it is under-specified in other dimensions.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description must explain both how to invoke the tool and what it returns. It does neither: the required timezone input is missing from the usable schema, and no return format or error behavior is described. This is far below a minimum viable tool definition.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although every visible schema property has a description, none of them corresponds to an IANA timezone name. The description says a named timezone is required, but the schema exposes unrelated optional parameters like ref, url, city, feed, host, json, and path. An agent cannot determine how to supply the timezone argument, making the tool effectively uncallable based on this definition.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns the current time for a named IANA timezone, which is enough to distinguish it from sibling tools like utc-time and iana-zones. It is not a full sentence with a verb, but the resource and intended operation are unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance about when to use this tool versus alternatives such as utc-time or iana-zones, and no mention of inputs, prerequisites, or exclusions. The agent is left to infer the intended use from the tool name and description alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states simply that the tool returns the current UTC timestamp, but it does not mention how the seven input parameters (ref, url, city, feed, host, json, path) are handled, despite their schema descriptions noting they are discarded or validated without side effects. An agent cannot tell whether passing a parameter influences the output.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short and free of fluff, which is a positive for conciseness. However, it is so minimal that it omits critical operational context, such as parameter handling and alternative tool routing. The brevity comes at the cost of completeness, making this a moderately effective structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a complex input schema with seven seemingly unrelated parameters, yet the description provides no guidance on how they relate to the tool's function. With no annotations or output schema, an agent lacks essential context about parameter relevance, side effects, and expected behavior. The description is insufficient for safe and correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has descriptions for all parameters, so schema description coverage is 100%. The tool description adds no meaning to these parameters and does not clarify why they exist for a UTC-time tool. According to the baseline rule for high coverage, a 3 is appropriate even though the description leaves the relationship between parameters and the tool's purpose unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Current UTC timestamp' clearly identifies the tool's output as the current UTC time. It effectively distinguishes it from sibling tools like 'timezone' or 'iana-zones' by specifying UTC as the resource. It lacks an explicit verb but is unambiguous enough for an agent to understand the tool's purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'timezone' or 'iana-zones'. There is no mention of preferred contexts, exclusions, or conditions that would route an agent here over other sibling tools. This is a clear gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden of behavioral disclosure. It adds a useful note that the body is discarded, implying no retention or side effects, but it does not disclose the return value, error behavior, or what happens on invalid JSON.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no filler. Every clause adds information: what it does and what happens to the input.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no annotations or output schema, yet the description does not explain the result format or error handling. Given the schema exposes many unrelated-looking fields, the sparse description leaves an agent uncertain how to interpret the tool's response and which parameter is essential.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has rich per-property descriptions, so schema coverage is high and the description need not repeat parameter details. The description adds no guidance about which parameter is the 'body,' but the `json` property already says 'JSON text to validate; discarded after the check.'

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific action ('Check whether a body is valid JSON') and is distinguishable from sibling shape validators by focusing on JSON syntax. The term 'body' is slightly ambiguous and doesn't explicitly tie to the `json` parameter, but the core purpose is unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to choose this tool over alternatives such as `domain-shape`, `file-path-ok`, or `normalize-url`. It implies JSON validation is the use case but does not state exclusions, prerequisites, or alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the disclosure burden and does establish that this is a read-only external lookup via Open-Meteo. It does not mention that the many unrelated parameters are ignored or what happens on unknown cities or network failures, though the schema partially documents discarded parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single compact sentence that states the core purpose and source with no wasted words. It is appropriately front-loaded and easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite the simple wording, this is a 9-parameter tool with no annotations and no output schema. The description does not explain that city is the only effective input, what temperature units are returned, or whether the other parameters affect the result, leaving a significant completeness gap for an agent deciding how to call it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3; the description adds no parameter-specific detail beyond naming 'city'. The schema already documents each parameter's role, so the description neither helps nor hurts parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies a specific output (current temperature), the target resource (a city), and the data source (Open-Meteo), which is enough to distinguish weather-hint from sibling hint tools like geo-hint. It lacks an explicit verb but is not ambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to prefer weather-hint over alternatives, whether city is required to obtain a meaningful result, or how to format the city name. The description leaves the agent to infer usage from the tool name and schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full disclosure burden. 'Body discarded' is a useful and non-obvious behavioral detail, and the output is described as HTTP status and content type. It omits other behavioral traits such as redirect handling, error representation, and which of the nine parameters actually trigger a fetch.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with no filler. The core outcome is front-loaded, and the body-discard caveat is given immediately after, making the tool's scope clear at a glance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is too thin for a tool with nine optional parameters, no annotations, and no output schema. It does not explain which parameters are relevant, what the return format looks like, how errors are surfaced, or how this tool relates to siblings like fetch-status and normalize-url. The core use is understandable, but reliable selection and invocation across the sibling set is not fully supported.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the input schema already documents all nine parameters. The description adds no parameter-level meaning beyond the phrase 'public URL', which maps loosely to the url parameter. This is a baseline-3 situation where the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns HTTP status and content type for a public URL and that the body is discarded. This is a specific resource-plus-outcome statement, but it does not explicitly distinguish web-fetch from sibling tools like fetch-status or playwright-url-ok.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'for a public URL' implies when the tool should be used, and 'Body discarded' signals that it should not be used when body content is needed. However, there is no explicit guidance about when to prefer this tool over the many similar sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description carries the full burden. The phrase 'Title discarded after the call' hints at statelessness but is vague and unhelpful. There is no disclosure of side effects, network behavior, or return format. For a check tool, a read-only note would be valuable context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is brief and front-loaded with the main function, but the second sentence is confusing and adds little value. It is concise without being clearly structured for an agent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the description must explain how to invoke the tool and what to expect. It does neither. The missing connection between 'Wikipedia title' and the schema parameters makes the tool effectively unusable from this definition alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description refers to a 'Wikipedia title' but the input schema contains no 'title' property—only ref, url, city, feed, host, json, and path. The description fails to map the tool's purpose to any schema field, leaving the agent unable to determine what to pass. This is a critical mismatch between description and schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action (check) and resource (Wikipedia title) with a clear verb. It is distinct from many sibling tools like 'fetch-status' or 'validate-json' in that it targets Wikipedia titles. However, it doesn't explicitly differentiate from other 'ok' tools, so it barely misses a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides only a bare statement of function and no guidance on when to use this tool versus any of the many similar validation tools in the sibling list. There is no mention of prerequisites, alternatives, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.